Literature DB >> 10869037

TrExML: a maximum-likelihood approach for extensive tree-space exploration.

M J Wolf1, S Easteal, M Kahn, B D McKay, L S Jermiin.   

Abstract

MOTIVATION: Maximum-likelihood analysis of nucleotide and amino acid sequences is a powerful approach for inferring phylogenetic relationships and for comparing evolutionary hypotheses. Because it is a computationally demanding and time-consuming process, most algorithms explore only a minute portion of tree-space, with the emphasis on finding the most likely tree while ignoring the less likely, but not significantly worse, trees. However, when such trees exist, it is equally important to identify them to give due consideration to the phylogenetic uncertainty. Consequently, it is necessary to change the focus of these algorithms such that near optimal trees are also identified.
RESULTS: This paper presents the Advanced Stepwise Addition Algorithm for exploring tree-space and two algorithms for generating all binary trees on a set of sequences. The Advanced Stepwise Addition Algorithm has been implemented in TrExML, a phylogenetic program for maximum-likelihood analysis of nucleotide sequences. TrExML is shown to be more effective at finding near optimal trees than a similar program, fastDNAml, implying that TrExML offers a better approach to account for phylogenetic uncertainty than has previously been possible. A program, TreeGen, is also described; it generates binary trees on a set of sequences allowing for extensive exploration of tree-space using other programs. AVAILABILITY: TreeGen, TrExML, and the sequence data used to test the programs are available from the following two WWW sites: http://whitetail.bemidji.msus. edu/trexml/and http://jcsmr.anu.edu.au/dmm/humgen.+ ++html.

Mesh:

Substances:

Year:  2000        PMID: 10869037     DOI: 10.1093/bioinformatics/16.4.383

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Many parallel losses of infA from chloroplast DNA during angiosperm evolution with multiple independent transfers to the nucleus.

Authors:  R S Millen; R G Olmstead; K L Adams; J D Palmer; N T Lao; L Heggie; T A Kavanagh; J M Hibberd; J C Gray; C W Morden; P J Calie; L S Jermiin; K H Wolfe
Journal:  Plant Cell       Date:  2001-03       Impact factor: 11.277

2.  Using confidence set heuristics during topology search improves the robustness of phylogenetic inference.

Authors:  Shirley L Pepke; Davin Butt; Isabelle Nadeau; Andrew J Roger; Christian Blouin
Journal:  J Mol Evol       Date:  2006-12-09       Impact factor: 2.395

3.  Mitochondrial DNA sequences in ancient Australians: Implications for modern human origins.

Authors:  G J Adcock; E S Dennis; S Easteal; G A Huttley; L S Jermiin; W J Peacock; A Thorne
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

4.  Gene order evolution and paleopolyploidy in hemiascomycete yeasts.

Authors:  Simon Wong; Geraldine Butler; Kenneth H Wolfe
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-01       Impact factor: 11.205

5.  Estimation of phylogeny using a general Markov model.

Authors:  Vivek Jayaswal; Lars S Jermiin; John Robinson
Journal:  Evol Bioinform Online       Date:  2007-02-25       Impact factor: 1.625

6.  PyEvolve: a toolkit for statistical modelling of molecular evolution.

Authors:  Andrew Butterfield; Vivek Vedagiri; Edward Lang; Cath Lawrence; Matthew J Wakefield; Alexander Isaev; Gavin A Huttley
Journal:  BMC Bioinformatics       Date:  2004-01-05       Impact factor: 3.169

7.  PyCogent: a toolkit for making sense from sequence.

Authors:  Rob Knight; Peter Maxwell; Amanda Birmingham; Jason Carnes; J Gregory Caporaso; Brett C Easton; Michael Eaton; Micah Hamady; Helen Lindsay; Zongzhi Liu; Catherine Lozupone; Daniel McDonald; Michael Robeson; Raymond Sammut; Sandra Smit; Matthew J Wakefield; Jeremy Widmann; Shandy Wikman; Stephanie Wilson; Hua Ying; Gavin A Huttley
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

8.  The embedding problem for markov models of nucleotide substitution.

Authors:  Klara L Verbyla; Von Bing Yap; Anuj Pahwa; Yunli Shao; Gavin A Huttley
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.